Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation

Zhen Gong, Xin Wu, Lei Chen, Zhenzhe Zheng, Shengjie Wang, Anran Xu, Chong Wang, Fan Wu 0006. Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation. In Jie Zhang 0002, Li Chen 0009, Shlomo Berkovsky, Min Zhang 0006, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song, editors, Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023. pages 47-57, ACM, 2023. [doi]

@inproceedings{GongWCZWXW023,
  title = {Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation},
  author = {Zhen Gong and Xin Wu and Lei Chen and Zhenzhe Zheng and Shengjie Wang and Anran Xu and Chong Wang and Fan Wu 0006},
  year = {2023},
  doi = {10.1145/3604915.3608773},
  url = {https://doi.org/10.1145/3604915.3608773},
  researchr = {https://researchr.org/publication/GongWCZWXW023},
  cites = {0},
  citedby = {0},
  pages = {47-57},
  booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023},
  editor = {Jie Zhang 0002 and Li Chen 0009 and Shlomo Berkovsky and Min Zhang 0006 and Tommaso Di Noia and Justin Basilico and Luiz Pizzato and Yang Song},
  publisher = {ACM},
}